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Genome Engineering with TALE and CRISPR Systems in Neuroscience

Overview of attention for article published in Frontiers in Genetics, April 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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92 Mendeley
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Title
Genome Engineering with TALE and CRISPR Systems in Neuroscience
Published in
Frontiers in Genetics, April 2016
DOI 10.3389/fgene.2016.00047
Pubmed ID
Authors

Han B. Lee, Brynn N. Sundberg, Ashley N. Sigafoos, Karl J. Clark

Abstract

Recent advancement in genome engineering technology is changing the landscape of biological research and providing neuroscientists with an opportunity to develop new methodologies to ask critical research questions. This advancement is highlighted by the increased use of programmable DNA-binding agents (PDBAs) such as transcription activator-like effector (TALE) and RNA-guided clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated (Cas) systems. These PDBAs fused or co-expressed with various effector domains allow precise modification of genomic sequences and gene expression levels. These technologies mirror and extend beyond classic gene targeting methods contributing to the development of novel tools for basic and clinical neuroscience. In this Review, we discuss the recent development in genome engineering and potential applications of this technology in the field of neuroscience.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Argentina 1 1%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Student > Bachelor 21 23%
Student > Master 14 15%
Researcher 13 14%
Other 5 5%
Other 7 8%
Unknown 10 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 37%
Agricultural and Biological Sciences 20 22%
Neuroscience 13 14%
Medicine and Dentistry 6 7%
Immunology and Microbiology 3 3%
Other 3 3%
Unknown 13 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2016.
All research outputs
#12,756,718
of 22,860,626 outputs
Outputs from Frontiers in Genetics
#2,582
of 11,880 outputs
Outputs of similar age
#134,961
of 301,058 outputs
Outputs of similar age from Frontiers in Genetics
#23
of 66 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,880 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 301,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.